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Fig. 11 | Journal of NeuroEngineering and Rehabilitation

Fig. 11

From: Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques

Fig. 11

Passive movements decoding. Continuous decoding of center-out trajectories (a) and classification of reached targets (b) for passive center-out movement. a represents the Pearson correlation coefficient (mean ±STD) obtained after computing a cross-fold validation between all runs (n=5). On each box, the central mark is the median, the edges of the box are the 25th and 75th percentiles, the whiskers extend to the most extreme datapoints which are considered not outliers, and the outliers are plotted individually. For each subject (1-5) the graph shows results for position (Px and Py) and velocity (Vx and Vy). b represents the success rate of targets correctly classified (mean ±STD) obtained after computing a cross-fold validation between all runs (n=5). For each subject (1-5) the graph shows results of five different target configurations (see Fig. 1)

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